Properly Trained models derived from biased or non-evaluated data can result in skewed or undesired predictions. Biased models may bring about detrimental results, therefore furthering the negative impacts on Modern society or targets. Algorithmic bias is a possible results of data not being thoroughly prepared for training. Device learning ethics http://www.logosnlife.org/board_NXjP71/660629